Title:
Quality Improvement of Requirements Specification via Automatically Created Object Oriented Models
Quality Improvement of Requirements Specification via Automatically Created Object Oriented Models
Author(s)
Popescu, Daniel
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Abstract
In industry most software requirements specifications are written in natural language. Software analysts
prefer natural language over formal languages because it increases the communication between
all stakeholders. However, the downside is that natural language specifications are often imprecise and
ambiguous. This paper explores whether natural language processing can help to reduce ambiguity and
to increase precision in natural language specifications. To examine the possibilities of this approach,
a CASE tool was implemented. The developed approach uses syntactical knowledge to build an object
oriented analysis model. Since the automatically extracted diagram is smaller than the original
specification and clearly visualized, it can enhance cognition. Therefore, a human can more easily find
ambiguities tracing the defects back to the original specification. A case study illustrates and evaluates
the developed approach.
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Date Issued
2006
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Text
Resource Subtype
Technical Report